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Field
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. These coating materials are tested in the laboratory but their performance does not always align with field observations. Within this project, we strive to close the gap between laboratory test campaigns and
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and different approaches can be tested to align the human and agent variants. The PD will experiment with symbolic techniques using Knowledge Graph representations of the world, Large Language Model
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of new components for SmallSat missions, facilitate the integration of complex hardware and test the complete mission in all development phases. You will have a key role in the validation and verification
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test prototypes. With the consortium, we investigate assembly, disassembly, repairability, and user experience in an operational environment. Building on this case, we develop the methodologies enabling
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. Methods from Human-Building Interaction are used to examine how people interact with built urban environments. Data-oriented approaches are employed to analyze the impacts of urban mobility barriers
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, experiments will involve testing (transgenic) mice in behavioral paradigms complemented by molecular and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest
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will examine in detail the content of intrusive images experienced during bereavement, characterize their key features (e.g., vividness, controllability, and associated emotions), and investigate
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deposition, testing the predicted network interactions and candidate genes experimentally, and leading cutting-edge methods development (TurboCas) to identify further candidates and network interactions. You
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imagery rescripting) may yield beneficial effects. In this project, we will examine in detail the content of intrusive images experienced during bereavement, characterize their key features (e.g., vividness
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inconsistent. This project aims to provide a rigorous and high-powered test of the neural network underlying sentence-level semantic integration. The project combines three complementary approaches: a